DataFlow Supercomputing Essentials

Inhaltsverzeichnis

Part I Research

Maxeler AppGallery Revisited

Discrepancy Reduction Between the Topology of DataFlow Graph and the Topology of FPGA Structure

Part II Development

Polynomial and Rational Functions

Transforming Applications from the Control Flow to the DataFlow Paradigm

Part III Education

Mini Tutorial

DataFlow Supercomputing Essentials

Research, Development and Education

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DataFlow Supercomputing Essentials

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Beschreibung


This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology.

This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples.

Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online.

This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.

Details

Einband

Taschenbuch

Erscheinungsdatum

25.08.2018

Verlag

Springer

Seitenzahl

150

Maße (L/B/H)

23.5/15.5/0.8 cm

Beschreibung

Details

Einband

Taschenbuch

Erscheinungsdatum

25.08.2018

Verlag

Springer

Seitenzahl

150

Maße (L/B/H)

23.5/15.5/0.8 cm

Gewicht

454 g

Auflage

Softcover reprint of the original 1st ed. 2017

Reihe

Computer Communications and Networks

Sprache

Englisch

ISBN

978-3-319-88184-3

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  • DataFlow Supercomputing Essentials
  • Part I Research

    Maxeler AppGallery Revisited

    Discrepancy Reduction Between the Topology of DataFlow Graph and the Topology of FPGA Structure

    Part II Development

    Polynomial and Rational Functions

    Transforming Applications from the Control Flow to the DataFlow Paradigm

    Part III Education

    Mini Tutorial